Cover Image

Retrieval-Augmented Guardrails for AI-Drafted Patient-Portal Messages: Error Taxonomy Construction and Large-Scale Evaluation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Wenyuan, Haredasht, Fateme Nateghi, Black, Kameron C., Grolleau, Francois, Alsentzer, Emily, Chen, Jonathan H., Ma, Stephen P.
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Improving Retrieval-Augmented Generation without Taxonomy-based Error Categorization
by: Zhang, Gongbo, et al.
Published: (2026)

Creating a Taxonomy for Retrieval Augmented Generation Applications
by: Nikishina, Irina, et al.
Published: (2024)

RAPID: Retrieval-Augmented Parallel Inference Drafting for Text-Based Video Event Retrieval
by: Nguyen, Long, et al.
Published: (2025)

Embedding-Driven Diversity Sampling to Improve Few-Shot Synthetic Data Generation
by: Lopez, Ivan, et al.
Published: (2025)

RAKG:Document-level Retrieval Augmented Knowledge Graph Construction
by: Zhang, Hairong, et al.
Published: (2025)

Antibiotic Resistance Microbiology Dataset (ARMD): A Resource for Antimicrobial Resistance from EHRs
by: Haredasht, Fateme Nateghi, et al.
Published: (2025)

FABULA: Intelligence Report Generation Using Retrieval-Augmented Narrative Construction
by: Ranade, Priyanka, et al.
Published: (2023)

QE-RAG: A Robust Retrieval-Augmented Generation Benchmark for Query Entry Errors
by: Zhang, Kepu, et al.
Published: (2025)

Retrieval Augmentation via User Interest Clustering
by: Lyu, Hanjia, et al.
Published: (2024)

Retrieval-Augmented Recommendation Explanation Generation with Hierarchical Aggregation
by: Sun, Bangcheng, et al.
Published: (2025)

VISA: Retrieval Augmented Generation with Visual Source Attribution
by: Ma, Xueguang, et al.
Published: (2024)

Chain-of-Retrieval Augmented Generation
by: Wang, Liang, et al.
Published: (2025)

HASH-RAG: Bridging Deep Hashing with Retriever for Efficient, Fine Retrieval and Augmented Generation
by: Guo, Jinyu, et al.
Published: (2025)

UniRAG: Universal Retrieval Augmentation for Large Vision Language Models
by: Sharifymoghaddam, Sahel, et al.
Published: (2024)

A Comprehensive Taxonomy of Negation for NLP and Neural Retrievers
by: Petcu, Roxana, et al.
Published: (2025)

Prospects of Retrieval Augmented Generation (RAG) for Academic Library Search and Retrieval
by: Bevara, Ravi, et al.
Published: (2025)

ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval
by: Huang, Suyuan, et al.
Published: (2024)

Optimizing Retrieval-Augmented Generation with Elasticsearch for Enhanced Question-Answering Systems
by: Chen, Jiajing, et al.
Published: (2024)

DA-RAG: Dynamic Attributed Community Search for Retrieval-Augmented Generation
by: Zeng, Xingyuan, et al.
Published: (2026)

Retrieval-Augmented Search for Large-Scale Map Collections with ColPali
by: Mahowald, Jamie, et al.
Published: (2025)

Quantization-aware Matrix Factorization for Low Bit Rate Image Compression
by: Ashtari, Pooya, et al.
Published: (2024)

KG-Retriever: Efficient Knowledge Indexing for Retrieval-Augmented Large Language Models
by: Chen, Weijie, et al.
Published: (2024)

Fine-Grained Guidance for Retrievers: Leveraging LLMs' Feedback in Retrieval-Augmented Generation
by: Liu, Yuhang, et al.
Published: (2024)

FlippedRAG: Black-Box Opinion Manipulation Adversarial Attacks to Retrieval-Augmented Generation Models
by: Chen, Zhuo, et al.
Published: (2025)

Predicting Retrieval Utility and Answer Quality in Retrieval-Augmented Generation
by: Tian, Fangzheng, et al.
Published: (2026)

R$^3$AG: Retriever Routing for Retrieval-Augmented Generation
by: Zhao, Tong, et al.
Published: (2026)

FloodSQL-Bench: A Retrieval-Augmented Benchmark for Geospatially-Grounded Text-to-SQL
by: Liu, Hanzhou, et al.
Published: (2025)

Taxonomy of the Retrieval System Framework: Pitfalls and Paradigms
by: Shah, Deep, et al.
Published: (2026)

SoK: Agentic Retrieval-Augmented Generation (RAG): Taxonomy, Architectures, Evaluation, and Research Directions
by: Mishra, Saroj, et al.
Published: (2026)

Retrieve-then-Adapt: Retrieval-Augmented Test-Time Adaptation for Sequential Recommendation
by: Tang, Xing, et al.
Published: (2026)

PoisonArena: Uncovering Competing Poisoning Attacks in Retrieval-Augmented Generation
by: Chen, Liuji, et al.
Published: (2025)

UltraRAG: A Modular and Automated Toolkit for Adaptive Retrieval-Augmented Generation
by: Chen, Yuxuan, et al.
Published: (2025)

Beyond Chunk-Then-Embed: A Comprehensive Taxonomy and Evaluation of Document Chunking Strategies for Information Retrieval
by: Zhou, Yongjie, et al.
Published: (2026)

Uncertainty Quantification for Retrieval-Augmented Reasoning
by: Soudani, Heydar, et al.
Published: (2025)

Scaling Laws For Dense Retrieval
by: Fang, Yan, et al.
Published: (2024)

Measuring Hypothesis Testing Errors in the Evaluation of Retrieval Systems
by: McKechnie, Jack, et al.
Published: (2025)

M2IO-R1: An Efficient RL-Enhanced Reasoning Framework for Multimodal Retrieval Augmented Multimodal Generation
by: Xiao, Zhiyou, et al.
Published: (2025)

Optimizing Question Semantic Space for Dynamic Retrieval-Augmented Multi-hop Question Answering
by: Ye, Linhao, et al.
Published: (2025)

mmRAG: A Modular Benchmark for Retrieval-Augmented Generation over Text, Tables, and Knowledge Graphs
by: Xu, Chuan, et al.
Published: (2025)

DAT: Dynamic Alpha Tuning for Hybrid Retrieval in Retrieval-Augmented Generation
by: Hsu, Hsin-Ling, et al.
Published: (2025)